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DEAP: A Database for Emotion Analysis using Physiological Signals

While some people speculate that we keep too much, we are actually frustrated that cost or copyright gets in the way of keeping absolutely everything that could be useful. As we can’t predict when some item (e.g., an old bill, conference announcement page, attendee list, business card, or scribbled post-it note) will be required, the easiest and safest thing is to simply keep it all. Everything. Many people have been taught to process and file incoming items – with Memex, the only option is to process or ignore incoming items, leaving an item such as an email that crosses. | IEEE TRANS. AFFECTIVE COMPUTING 1 DEAP A Database for Emotion Analysis using Physiological Signals Sander Koelstra Student Member IEEE Christian Muhl Mohammad Soleymani Student Member IEEE Jong-Seok Lee Member IEEE Ashkan Yazdani Touradj Ebrahimi Member IEEE Thierry Pun Member IEEE Anton Nijholt Member IEEE loannis Patras Member IEEE Abstract We present a multimodal dataset for the analysis of human affective states. The electroencephalogram EEG and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participants rated each video in terms of the levels of arousal valence like dislike dominance and familiarity. For 22 of the 32 participants frontal face video was also recorded. A novel method for stimuli selection is proposed using retrieval by affective tags from the last.fm website video highlight detection and an online assessment tool. An extensive analysis of the participants ratings during the experiment is presented. Correlates between the EEG signal frequencies and the participants ratings are investigated. Methods and results are presented for single-trial classification of arousal valence and like dislike ratings using the modalities of EEG peripheral physiological signals and multimedia content analysis. Finally decision fusion of the classification results from the different modalities is performed. The dataset is made publicly available and we encourage other researchers to use it for testing their own affective state estimation methods. Index Terms Emotion classification EEG Physiological signals Signal processing Pattern classification Affective computing. --------------------- ---------------------- 1 Introduction Emotion is a psycho-physiological process triggered by conscious and or unconscious perception of an object or situation and is often associated with mood temperament personality and disposition and motivation. Emotions play an important role in human communication .